promptShield

promptShield is an offline desktop application designed to protect sensitive data in documents before they are shared with AI services. It automatically detects and replaces personally identifiable information (PII) and regulated identifiers with reversible codes, ensuring that no sensitive data leaves the user's device. The software supports over 70 identifier types across 14 countries and 7 languages, including names, addresses, phone numbers, social security numbers, and healthcare IDs. Processing occurs entirely locally, with no cloud uploads or third-party APIs, making it suitable for organizations with strict data privacy requirements such as legal, healthcare, and finance sectors. Beyond the desktop app, promptShield offers a command-line interface (CLI) and a self-hosted Docker API for integration into automated workflows and existing infrastructure. It provides a Library feature to organize files, batch processing, and compliance monitoring dashboards. The tool also includes a Trust Badge for organizations to demonstrate their data privacy commitments. All protected documents are output as clean PDFs with metadata stripped, and the original data can be restored by importing the AI output back into promptShield. promptShield targets the problem of 'Shadow AI'—employees inadvertently pasting sensitive client information into unapproved AI tools. By making it safe to use AI on confidential documents, promptShield aims to eliminate this risk without banning AI usage, enhancing productivity while maintaining compliance with regulations like GDPR and HIPAA. The pricing model includes a free starter plan and paid tiers, making it accessible to both individuals and enterprises.

Category: Apis
Pricing: Paid

Problem solved

promptShield solves the risk of accidental data exposure when using AI services with sensitive documents. It enables users to leverage AI tools without compromising data privacy by automatically anonymizing documents locally, preventing sensitive information from ever reaching external AI systems.

Use cases

Anonymizing legal contracts before sending to AI for clause analysis
Protecting patient records for AI-assisted medical research without PHI exposure
Redacting financial documents for AI-driven audit or summarization
Enabling safe use of ChatGPT or other LLMs with confidential business documents
Automating PII removal in document processing pipelines via CLI or API
Ensuring compliance when sharing documents across teams working with AI tools